Automate everything







zh:context-recognizer [2012/08/21 19:28]
yang создано
zh:context-recognizer [2021/01/23 21:24] (当前版本)
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-====== 上下文识别 ======+====== 上下文识别 ====== ​
 **上下文识别对抗Google动物园** \\  **上下文识别对抗Google动物园** \\ 
 为了使您免受Google动物算法的影响,我们发明了全新的功能 - 上下文识别。\\ 为了使您免受Google动物算法的影响,我们发明了全新的功能 - 上下文识别。\\
 **上下文识别**将有助于确定什么是符合您主题的的网页或文本。\\ **上下文识别**将有助于确定什么是符合您主题的的网页或文本。\\
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 同样,您可以检查您网站上的导出链接,并检查网页的相关性。\\ 同样,您可以检查您网站上的导出链接,并检查网页的相关性。\\
 \\  \\ 
-假设你有一批可以做链接的地址。你可以使用新的**Context Recognizer**功能将列表依据内容分为多个类别。然后当你想推广你的网站时,就可以不用全部发送,而是选择相关类别的网址发送了。+假设你有一批可以做链接的地址。你可以使用新的**上下文识别**功能将列表依据内容分为多个类别。然后当你想推广你的网站时,就可以不用全部发送,而是选择相关类别的网址发送了。\\
 \\  \\ 
-Let's say you have a list of URLs for posting. With the help of the new **Context Recognizer** feature you can split your database into multiple DBs depends on  context. Then, when you will need to advertise your site, you will not  post to full database, but you will use only relevant URLs list. \\ +这样你可以把汽车保险的文章发送到关于汽车的博客而不是发到毫不相关的新电影预告博客。\\ 
 \\  \\ 
-You will be able to post an article about the car insurance to blog with  subject about cars, rather than a blog, which publishes announcements ​ of new movies. \\  +你也可以遍历网站(或博客)找到最贴近你广告主题的页面。留下相关的评论或者文章,这样不仅可以获得高度相关的链接而且你也有更多的机会通过审核,这对高质量资源尤其重要。\\  
-\\  +**上下文识别**目前正在BETA测试,不过它已经显露出不俗的表现,我们会不断改进它。 ​{{http://​zennolab.com/​discussion/​images/​smilies/​smile.gif?​nolink&​}} 
-You can parse the site (eg, blog) and find pages that are best suited to  the subject of your advertising. Leaving relevant comments and posts, ​ you will not only get relevant links but you will have much greater ​ chance to pass moderation, it is very important for high-quality ​ resources. ​\\  +======使用======
-**Context Recognizer** is at the stage of beta testing now, despite this, it's already shows a good percentage of recognition and we will improve it {{http://​zennolab.com/​discussion/​images/​smilies/​smile.gif?​nolink&​}}+
-======Usage====== +首先你要制定待分析的文本。可以使用文章提取功能(菜单栏上的获取主要文章命令)或者在页面上手工直接选择所需的文本。然后你就可以得到大致的文章主题(~20)或者更详尽的主题(~150)(该功能还没有完成)\\
- +
-Firstly you need to specify the text for analysis. You can use article ​ extraction feature ​(getting the main article action in the toolboxfor  this purpose or select the required text on the page manually. ​ Then,  you can determine the general theme of the text (~20) or a detailed ​ theme (~150) ​(This feature is not available for now). \\ +
 \\  \\ 
-You have to set two filters after that: \\  +然后你要设置两个过滤器:\\  
-Specify the maximum number of themes, which Content recognizer will detect. ​\\  +设置识别器最多检测的主题数目。\\  
-Specify the minimum relevance. All values below it will be considered as inappropriate. This parameter varies from to 100\\  +设置最小相关性,低于这个值将会被判定为不符合,取值范围0100\\  
-**Theme of text** \\  +**文本主题** \\  
-For example you set subjects and at least 30 percent of relevancy. ​\\  +例如你设置了3个主题、相关性最低30%。\\  
-As result you will get no more than subjects with relevancy level not less than 30 percent with your text. \\ +结果是你会得到不多于3个相关性不低于30%的主题。\\ 
 \\  \\ 
-Note that final result can have less number of subjects or none at all,  if parser will not find any similarities between your text and known  subjects.\\  +如果检查不到你提供的文本和指定主题相关性,那么结果也可能是少于3个甚至1个都没有。\\  
-Found subjects will be comma separated and will be saved to variable.+匹配的主题会以都好分割的形式保存到变量中。 
 +====== 测试 ======
-====== Testing ====== 
-ProjectMaker toolbar (at the top) has a button to test Context Recognizer.+[[http://​www.zennolab.com/​zh/​products/​zennoposter/​pid/​seoget|购买ZennoPoster]]
zh/context-recognizer.1345577317.txt.gz · 最后更改: 2015/07/14 15:50 (外部编辑)